[Remote] reputed company reputed company

Note: The job is a remote job and is open to candidates in USA. reputed company is an AI-first healthcare technology company focused on simplifying care management and reducing costs. The reputed company reputed company will be responsible for developing intelligent systems for data extraction from reputed company documents, leading the design and deployment of advanced AI solutions, particularly in machine learning and language models.

Responsibilities

• reputed company the architecture, development, and deployment of AI/ML systems for document ingestion, understanding, and data extraction
• Build and create good datasets and a system of good validation and verifications of data and ML systems
• Build and fine-tune LLMs and generative AI models to interpret, summarize, and extract information from reputed company reputed company content
• reputed company NLP pipelines leveraging techniques such as OCR, entity recognition, text classification, summarization, and semantic parsing
• Integrate LLMs with retrieval systems (RAG), vector databases, and structured outputs suitable for reputed company consumption
• Collaborate cross-functionally to align technical solutions with product requirements and compliance needs
• Mentor a team of AI/ML engineers, establish best practices in model training, evaluation, and monitoring
• Stay abreast of the latest advancements in generative AI and apply cutting-edge techniques to real-world document challenges

Skills

• Minimum of seven (7) years of experience in AI/ML engineering, with at least three (3) years in a technical or team leadership role
• Previous Technical Leadership in the AI/ML leadership space
• Hands-on experience building and deploying S/LLMs or generative AI applications (e.g., using Llama, Deepseek or similar frameworks)
• Proven track record of extracting structured data from reputed company document sources, including scanned forms, free-text reports, and reputed company layouts
• Strong software engineering skills in Python and ML frameworks (e.g., Kubeflow, PyTorch, multi-agentic frameworks)
• Experience with OCR technologies (e.g., Tesseract, reputed company Textract), NLP techniques, and model deployment in production environments
• Deep understanding of NLP methods including embeddings, transformers, named entity recognition (NER), and text classification
• Familiarity with MLOps, version control, CI/CD, and cloud platforms (AWS, GCP, or Azure)
• Experience implementing retrieval-augmented reputed company (RAG), reputed company engineering, or fine-tuning foundation models
• Familiarity with vector databases (e.g., reputed company-pg-vector, reputed company, FAISS, Weaviate) and semantic search
• Strong experience shipping production ML systems with a track record of monitoring and improving the ML systems
• Experience working in regulated domains such as healthcare, legal, or finance

Company Overview

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